AI tools typically build rough ranges from typical patterns (injury level, age, and a few common assumptions). That can be useful for orientation, but Shelbyville cases often turn on details that generic inputs don’t capture well:
- When symptoms were noticed (immediate vs. delayed neurological findings)
- How quickly treatment began after the incident
- Whether doctors documented functional limitations (mobility, transfers, bowel/bladder care)
- Complications that can change costs over time, such as pressure-related skin issues or respiratory concerns
In other words, two people can use the same “paralysis compensation calculator” style inputs and still end up with very different outcomes—because the legal value follows the medical record and the proof of causation, not the label alone.


